Recognition method and recognition system for unambiguously recognizing an object

A computer-implemented recognition method for unambiguously recognizing an object, comprising:

• determining, by means of a first optical sensor at a first point in time, reference information of at least one reference object by capturing a number of symbols applied to a respective reference object;
• training a machine learner on the basis of the reference information and a provided ground truth which assigns respective reference information to a first class or a further class;
• determining, by means of a second optical sensor at a second point in time, sample information by capturing a number of symbols applied to the object to be recognized;
• assigning the sample information to the first class or to the further class by the machine learner;
• and
• outputting a validation signal in case the machine learner assigns the sample information to the first class.

A recognition system for unambiguously recognizing an object, comprising:

• a first optical sensor configured to determine, at a first point in time, reference information of at least one reference object by capturing a number of symbols applied to a respective reference object;
• a training module configured to train a machine learner on the basis of the reference information and a provided ground truth which assigns respective reference information to a first class or a further class;
• a second optical sensor configured to determine, at a second point in time, sample information by capturing an object to be recognized, wherein the object to be recognized has a number of sample symbols, in particular printed sample symbols;
• a classification module configured to assign the sample information to the first class or the further class by means of the machine learner;
• and
• an output unit for outputting a validation signal in case the machine learner assigns the sample information to the first class.